论文标题
轻巧的U-NET用于高分辨率乳房成像
Lightweight U-Net for High-Resolution Breast Imaging
论文作者
论文摘要
我们研究了在乳腺癌筛查的恶性肿瘤检测背景下完全卷积的神经网络。我们从事有监督的细分任务，以寻找网络精度与计算复杂性之间的可接受折衷。
We study the fully convolutional neural networks in the context of malignancy detection for breast cancer screening. We work on a supervised segmentation task looking for an acceptable compromise between the precision of the network and the computational complexity.
